# data[].attributes.body
Strength- effective communication and relations

Weakness-

# data[].attributes.headline
Strength - Great collaboration of ideas related to activities

# data[].attributes.subject
Strength - Great collaboration of ideas related to activities

# data[].attributes.headline
Identifying the varied learning strategies needed between regular, honors & AP level students. 

# data[].attributes.subject
Identifying the varied learning strategies needed between regular, honors & AP level students. 

# data[].attributes.body
Analyzing data is a strength.   Differentiating the common assessments is a weakness.

# data[].attributes.body
Great communication

# data[].attributes.body
We are very intentional about our usage of Benchmark data

# data[].attributes.body
Effective communication.

# data[].attributes.body
We do a good job of looking at the big picture in our PLCs. I think that we need to look at ways we need to help all students to achieve more than passing the test

# data[].attributes.headline
Strength: Easy to see data in PLC when using masteryconnect.

# data[].attributes.subject
Strength: Easy to see data in PLC when using masteryconnect.

# data[].attributes.body
Weakness: Hard to navigate certain aspects of the data.

# data[].attributes.body
-does a great job in creating assessments that are aligned with our standards

-could be better at collecting and utilizing our data to improve students' learning

# data[].attributes.headline
Collaboration is constructive and productive. 

# data[].attributes.subject
Collaboration is constructive and productive. 

# data[].attributes.body
Work well together. Great communication. Good at analyzing data from teacher to teacher and from school to school via benchmarks.

# data[].attributes.body
Weakness- difficult to meet! Common planning is critical for effective PLCs

# data[].attributes.body
Everyone contributes opinions and effective lessons to the group discussion.

# data[].attributes.headline
Weakness - Not enough time to create common assessments. 

# data[].attributes.subject
Weakness - Not enough time to create common assessments. 

# data[].attributes.body
Highly data driven

# data[].attributes.body
good at analyzing data

# data[].attributes.body
Analyze data and re-assess troubling questions. We do this as an effective PLC.

# data[].attributes.body
We use data to determine areas of needed improvement in our instruction

# data[].attributes.headline
Reflection and adaptation is welcome and encouraged.

# data[].attributes.subject
Reflection and adaptation is welcome and encouraged.

# data[].attributes.body
We need to find ways to challenge the academically gifted students in our classes to increase growth

# data[].attributes.body
Sharing ideas, plans and what works for each teacher

# data[].attributes.headline
Harder with multiple versions on mastery connect

# data[].attributes.subject
Harder with multiple versions on mastery connect

# data[].attributes.body
Excellent data collection and tracking tool.

# data[].attributes.headline
Based on our data, we need to work on numbers 1 and 2

# data[].attributes.subject
Based on our data, we need to work on numbers 1 and 2

# data[].attributes.headline
Strength - Great collaboration of ideas related to activities and testing.

# data[].attributes.subject
Strength - Great collaboration of ideas related to activities and testing.

# data[].attributes.body
Pulling data reports to meet with at-risk students

# data[].attributes.body
-Planning Events
-Supporting each-other

# data[].attributes.headline
I feel a strength among our department is our collaboration of data. We have an interactive microsoft office excel file that we all have access to analyze data and differentiate instruction accordingly.

# data[].attributes.subject
I feel a strength among our department is our collaboration of data. We have an interactive microsoft office excel file that we all have access to analyze data and differentiate instruction accordingly.

# data[].attributes.body
-We do not use alot of common assessments in our PLC

# data[].attributes.headline
Strength: Self reflection and adaptation of assessments is 

# data[].attributes.subject
Strength: Self reflection and adaptation of assessments is 

# data[].attributes.body
encouraged for each project.

# data[].attributes.body
Too few county-wide PLCś

# data[].attributes.body
We do not compare data

# data[].attributes.body
We not compare data

# data[].attributes.body
using common assessments with beginning courses